This paper examines how haptic technology, virtual reality, and artificial intelligence help to
reduce the physical contact in medical training during the COVID-19 Pandemic. Notably, any …

Player pose estimation is particularly important for sports because it provides more accurate
monitoring of athlete movements and performance, recognition of player actions, analysis of …

Both recognition and 3D tracking of frontal dynamic objects are crucial problems in an
autonomous vehicle, while depth estimation as an essential issue becomes a challenging …

Real-time instrument tracking is an essential element of minimally invasive surgery and has
several applications in computer-assisted analysis and interventions. However, the …

Predicting scene depth from RGB images is a challenging task. Since the cameras are the
most available, least restrictive and cheapest source of information for autonomous vehicles; …

Human gait analysis is of great importance and can be used in the prevention and treatment
of motion abnormalities. Spatiotemporal data of gait captured by high-frequency cameras is …

The main purpose of the work was to consider the problem of neural networks and their
application, especially for data management and control in the medical industry. The …

Article information: In this work, an automatic robotic manipulator control based on visual
information for object tracking is presented. The tracking process employs Recurrent Neural …

RoboEye is a spherical 3RRR parallel robot which has been developed for its high
precision. It can provide high speeds, so can be used for fast tracking tasks. To this end, in …

Human gait analysis is of great importance and can be used in the prevention and treatment
of motion abnormalities. Spatiotemporal data of gait captured by high-frequency cameras is …